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# Data Manager

- **Company:** PARETO HEALTH, INC.
- **Location:** Philadelphia, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Analysis, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Structures, Database Models, Database Queries, Decision Support Systems, Digital Assets, Python (Programming Language), DataOps, SQL Databases, Technical Data Management Systems, Data Processing, Data Management, Serverless Computing, Programming Languages
- **Published:** October 8, 2026
- **Apply:** https://www.phillyjobs.com/job.asp?id=3433804311&tx=JP10801LFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future., * A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data

 * A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
 * An adaptable utility player who can flex across data operations, analysis, quality assurance, documentation, and process improvement as priorities evolve
 * A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
 * A self-starter with a demonstrated track record of owning projects from idea to execution
 * A translator who connects business requirements with the necessary data to support them, * 5+ years' experience in a healthcare-based data management/stewardship role
 * 3+ years' experience working directly with administrative healthcare data (medical and pharmacy claims, enrollment data)
 * Deep understanding of database models, ETL tools, and common quality challenges inherent in healthcare data
 * Strong SQL skills, including building, optimizing, and validating complex queries
 * Bachelor's degree in a quantitative/data related field (or equivalent work experience)
 * Bonus: Experience working with Salesforce data, healthcare vendor-reported utilization and savings data, and/or stop loss insurance data
 * Bonus: Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR
 * Bonus: Experience using programming languages, such as Python, for analysis and data wrangling

## Description

At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth., As a Data Manager, you will support harnessing the critical data required to support strategic decision-making at the company. You will play a key role in executing the vision of the Analytics team to provide intelligence to stakeholders across the organization, serving as a liaison between technical data management and business strategy.

This position will report to the VP of Analytics. It requires experience working with rich, multi-faceted data that includes medical and pharmacy claims as well as a variety of other healthcare-related data sources., * Support End-to-End Analyses

 + Work directly with large, messy healthcare datasets, including medical and pharmacy claims
 + Build and maintain robust SQL queries and analytical datasets
 + Ensure that all data assets are accurately managed and maintained, and are usable for business purposes
 * Support specific data integration efforts
 + Partner with Lead Data Manager and stakeholders to ensure understanding of business requirements
 + Partner with Data Engineering to create and maintain appropriate data structures and models
 + Coordinate with internal and external data suppliers to ensure timeliness and accuracy of inbound data sources
 + Follow and enhance data quality assurance processes and data governance policies
 + Ensure creation of appropriate metadata to ensure data is well documented and understood
 * Collaborate Within the Team
 + Work closely with other team resources to ensure necessary data sources are created, maintained and documented for all team projects
 + Contribute through collaboration and shared problem-solving